| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Target Price: $91.6420 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks whether SOL will meet a $91.6420 price target within a specified 15-minute criterion; it matters because short, high-resolution price targets are used by traders to express views on near-term volatility and microstructure events.
SOL is a major cryptocurrency whose price moves are driven by on-chain activity, developer updates, macro crypto sentiment, and liquidity across exchanges. Short-interval targets like a 15-minute window capture transient spikes or dips that may be caused by news, large trades, or order-book dynamics rather than long-term fundamentals.
Market odds aggregate traders' expectations about the event defined by the market's settlement rules; changes in those odds reflect new information, order flow, and shifting risk appetite rather than a fixed prediction.
The market resolves according to KALSHI's published settlement rules for this contract. Consult the market page or official contract documentation to see the precise price source, timestamp convention, and how the 15-minute interval is defined.
Whether a brief touch counts depends on the contract's settlement definition—some contracts require an average or continuous price across the interval, others count any trade or quote at or above the target. Check the market's resolution specification to know which applies.
Large orders or thin liquidity on the exchanges used for the price feed can produce short-lived spikes or crashes that affect whether the target occurs within a short interval; traders often monitor order books and cross-exchange liquidity to assess this risk.
Timing is governed by the contract's timestamp rules (for example, a UTC-based timestamp or exchange-specific timestamps). The market page will specify the time standard and how 15-minute windows are aligned and measured.
Look at intraday 1- and 15-minute price charts, recent volatility spikes, times of past rapid moves (e.g., around major announcements), and how SOL behaved during similar percentage moves to understand typical short-interval behavior.